Cheese containing probiotic NJ42 isolated from stingless bee honey reduces weight gain, fat accumulation, and glucose intolerance in mice.

Background: The high occurrence of metabolic syndrome has driven a growing demand for natural resource-based therapeutic strategies, highlighting their potential efficacy in addressing the complexities of this condition. Probiotics are established to be useful in the prevention and treatment of diabetes and obesity. However, limited exploration exists regarding the application of the isolated strain from stingless bee honey as a probiotic within dairy products, such as cheese.

Clinical features and mutational analysis of X-linked agammaglobulinemia patients in Malaysia.

Background: Bruton's tyrosine kinase (BTK) is a cytoplasmic protein involved in the B cell development. X-linked agammaglobulinemia (XLA) is caused by mutation in the gene, which results in very low or absent B cells. Affected males have markedly reduced immunoglobulin levels, which render them susceptible to recurrent and severe bacterial infections.

Nanomolar activity of 4-hydrazinylphenyl benzenesulfonate against breast cancer Michigan Cancer Foundation-7 cell lines.

Hydrazine is an alkaline reduction compound which is widely used in synthesis. Based on the structure-activity analysis, to elicit antitumor activity, the presence of the N-methyl group is an absolute requirement. The aim of the research is to synthesize a new hydrazine derivate compound that has potency as a novel anti-breast cancer.

Forecasting COVID-19 Case Trends Using SARIMA Models during the Third Wave of COVID-19 in Malaysia.

With many countries experiencing a resurgence in COVID-19 cases, it is important to forecast disease trends to enable effective planning and implementation of control measures. This study aims to develop Seasonal Autoregressive Integrated Moving Average (SARIMA) models using 593 data points and smoothened case and covariate time-series data to generate a 28-day forecast of COVID-19 case trends during the third wave in Malaysia. SARIMA models were developed using COVID-19 case data sourced from the Ministry of Health Malaysia's official website.

The effects of super spreading events and movement control measures on the COVID-19 pandemic in Malaysia.

This paper aims to develop an automated web application to generate validated daily effective reproduction numbers (Rt) which can be used to examine the effects of super-spreading events due to mass gatherings and the effectiveness of the various Movement Control Order (MCO) stringency levels on the outbreak progression of COVID-19 in Malaysia. The effective reproduction number, Rt, was estimated by adopting and modifying an Rt estimation algorithm using a validated distribution mean of 3.96 and standard deviation of 4.